Intelligent Environmental Decision Support Systems

Authors

M. Sànchez-Marrè, Technical University of Catalonia , Barcelona
K. Gibert, Technical University of Catalonia , Barcelona
R. S. Sojda, Northern Rocky Mountain Science Center,USDI, Geological Survey
J. P. Steyer, Laboratoire de Biotechnologie de l'Environnement, Narbonne, France
P. Struss, Technical University of Munich
I. Rodríguez-Roda, University of Girona, Spain
J. Comas, University of Girona, Spain
V. Brilhante, Federal University of Amazonas, Brazil
E. A. Roehl, Advanced Data Mining, Greenville, SC

Date of this Version

2008

Comments

Published in ENVIRONMENTAL MODELLING, SOFTWARE AND DECISION SUPPORT: STATE OF THE ART AND NEW PERSPECTIVES, edited by A. J. Jakeman, A. A. Voinov, A. E. Rizzoli, & S. H. Chen (Amsterdam et al.: Elsevier, 2008). This article is a U.S. government work and is not subject to copyright in the United States.

Abstract

Introduction
Complexity of environmental systems
New tools for a new paradigm
Intelligent Environmental Decision Support Systems (IEDSS)
IEDSS development
About Uncertainty Management
Temporal Reasoning
Featuring the problem
Approaches to temporal reasoning
Case-based reasoning for temporal reasoning
Geographic Information and Spatial Reasoning
Understanding spatial reasoning
Kriging and variants
Representing change/time steps/feedback loops
Middleware. blackboards and communication protocols
Multiagent systems
Evaluation of IEDSS and Benchmarking
Benchmarking
Conclusions and Future Trends